Department of Statistics Seminar
North Carolina State University

presents

Hongyu Zhao, PhD

Professor

Division of Biostatistics

Yale School of Public Health

Statistical Methods to Infer Transcriptional Regulatory 
Networks Using Genomics Data

Abstract

Transcription regulation is a fundamental biological process, and extensive efforts have been made to dissect its mechanisms through direct biological experiments and regulation modeling based on physical-chemical principles and mathematical formulations. Recent advances in high throughput technologies have provided substantial amounts and diverse types of genomic data that reveal valuable information on transcription regulation, including DNA sequence data, protein-DNA binding data, microarray gene expression data, and others. In this talk, I will present a Bayesian modeling framework to integrate diverse data types, e.g. protein-DNA binding data and gene expression data, to reconstruct transcriptional regulatory networks. The usefulness of this general modeling approach is demonstrated through its application to infer transcriptional regulatory networks in the yeast cell cycle.

Friday, April 18, 2008
3:35 - 4:15 pm
206 Cox Hall

Refreshments will be served in the common area of 222 Dabney Hall at 3:00 pm.